Evidence map›Paper›PMID 29626169›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2018

On the Flexibility of Basic Risk Attitudes in Monkeys.

Shiva Farashahi, Habiba Azab, Benjamin Hayden, Alireza Soltani

Abstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

45 citing papers in PubMed.

  1. Article
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  5. Review
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  7. Article
  8. Computational Mechanisms Underlying Motivation to Earn Symbolic Reinforcers.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  9. Article
  10. Abstract Value Encoding in Neural Populations But Not Single Neurons.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    Article
  11. Article
  12. Article
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  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Latent learning, cognitive maps, and curiosity.Current opinion in behavioral sciences · 2021
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Shiva FarashahiDepartment of Psychological and Brain Sciences, Dartmouth College, Hanover, New Hampshire 03755.ORCID 0000-0002-8771-4609
Habiba AzabDepartment of Brain and Cognitive Sciences, Center for Visual Sciences, and Center for the Origins of Cognition, University of Rochester, Rochester, New York 14627, and.
Benjamin HaydenDepartment of Neuroscience and Center for Magnetic Resonance Imaging, University of Minnesota, Minneapolis, Minnesota 55455.ORCID 0000-0002-7678-4281
Alireza SoltaniDepartment of Psychological and Brain Sciences, Dartmouth College, Hanover, New Hampshire 03755, soltani@dartmouth.edu.ORCID 0000-0003-4386-8486

Funding

NEURONAL BASIS OF PERSISTENCER01DA038615 · NIDA · UNIVERSITY OF ROCHESTER · PI HAYDEN, BENJAMIN Y · 2015 to 2024
$3.4M
NIDA NIH HHS R01 DA038615
6 · The paper itself

Abstract

Monkeys and other animals appear to share with humans two risk attitudes predicted by prospect theory: an inverse-S-shaped probability-weighting (PW) function and a steeper utility curve for losses than for gains. These findings suggest that such preferences are stable traits with common neural substrates. We hypothesized instead that animals tailor their preferences to subtle changes in task contexts, making risk attitudes flexible. Previous studies used a limited number of outcomes, trial types, and contexts. To gain a broader perspective, we examined two large datasets of male macaques' risky choices: one from a task with real (juice) gains and another from a token task with gains and losses. In contrast to previous findings, monkeys were risk seeking for both gains and losses (i.e., lacked a reflection effect) and showed steeper gain than loss curves (loss seeking). Utility curves for gains were substantially different in the two tasks. Monkeys showed nearly linear PWs in one task and S-shaped ones in the other; neither task produced a consistent inverse-S-shaped curve. To account for these observations, we developed and tested various computational models of the processes involved in the construction of reward value. We found that adaptive differential weighting of prospective gamble outcomes could partially account for the observed differences in the utility functions across the two experiments and thus provide a plausible mechanism underlying flexible risk attitudes. Together, our results support the idea that risky choices are constructed flexibly at the time of elicitation and place important constraints on neural models of economic choice.

Indexed as

AttitudeRisk-TakingAlgorithmsAnimalsComputer SimulationDecision MakingFemaleGamblingMacaca mulattaMaleRewardcognitive flexibilityloss seekingprobability distortionreflection effectrisk

Identifiers

PMID29626169
PMCPMC5932645

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.